Diagrams for Readmission Prediction

Dataset statistics

Number of variables	17
Number of observations	25000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.3 MiB
Average record size in memory	96.0 B

Variable types

Numeric	12
Categorical	5

Alerts

`change` is highly overall correlated with `diabetes_med`	High correlation
`diabetes_med` is highly overall correlated with `change`	High correlation
`glucose_test` is highly imbalanced (77.1%)	Imbalance
`A1Ctest` is highly imbalanced (50.5%)	Imbalance
`n_emergency` is highly skewed (γ1 = 24.53015169)	Skewed
`age` has 2532 (10.1%) zeros	Zeros
`n_procedures` has 11409 (45.6%) zeros	Zeros
`n_outpatient` has 20859 (83.4%) zeros	Zeros
`n_inpatient` has 16537 (66.1%) zeros	Zeros
`n_emergency` has 22272 (89.1%) zeros	Zeros
`medical_specialty` has 1409 (5.6%) zeros	Zeros
`diag_1` has 7824 (31.3%) zeros	Zeros
`diag_2` has 8134 (32.5%) zeros	Zeros
`diag_3` has 7686 (30.7%) zeros	Zeros

Reproduction

Analysis started	2024-08-28 15:57:40.630700
Analysis finished	2024-08-28 15:58:29.325423
Duration	48.69 seconds
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

age
Real number (ℝ)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.34412

Minimum	0
Maximum	5
Zeros	2532
Zeros (%)	10.1%
Negative	0
Negative (%)	0.0%
Memory size	97.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.3156332
Coefficient of variation (CV)	0.56124822
Kurtosis	-0.81550571
Mean	2.34412
Median Absolute Deviation (MAD)	1
Skewness	-0.12617834
Sum	58603
Variance	1.7308907
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	6837	27.3%
2	5913	23.7%
4	4516	18.1%
1	4452	17.8%
0	2532	10.1%
5	750	3.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2532	10.1%
1	4452	17.8%
2	5913	23.7%
3	6837	27.3%
4	4516	18.1%
5	750	3.0%

Value	Count	Frequency (%)
5	750	3.0%
4	4516	18.1%
3	6837	27.3%
2	5913	23.7%
1	4452	17.8%
0	2532	10.1%

time_in_hospital
Real number (ℝ)

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.45332

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	14
Range	13
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.0014699
Coefficient of variation (CV)	0.67398477
Kurtosis	0.800598
Mean	4.45332
Median Absolute Deviation (MAD)	2
Skewness	1.1089046
Sum	111333
Variance	9.0088213
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	4311	17.2%
2	3986	15.9%
1	3480	13.9%
4	3467	13.9%
5	2542	10.2%
6	1895	7.6%
7	1467	5.9%
8	1104	4.4%
9	768	3.1%
10	588	2.4%
Other values (4)	1392	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3480	13.9%
2	3986	15.9%
3	4311	17.2%
4	3467	13.9%
5	2542	10.2%
6	1895	7.6%
7	1467	5.9%
8	1104	4.4%
9	768	3.1%
10	588	2.4%

Value	Count	Frequency (%)
14	281	1.1%
13	299	1.2%
12	354	1.4%
11	458	1.8%
10	588	2.4%
9	768	3.1%
8	1104	4.4%
7	1467	5.9%
6	1895	7.6%
5	2542	10.2%

n_lab_procedures
Real number (ℝ)

Distinct	109
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.24076

Minimum	1
Maximum	113
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	31
median	44
Q3	57
95-th percentile	74
Maximum	113
Range	112
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.81862
Coefficient of variation (CV)	0.45833191
Kurtosis	-0.29792189
Mean	43.24076
Median Absolute Deviation (MAD)	13
Skewness	-0.23867244
Sum	1081019
Variance	392.77771
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	751	3.0%
43	638	2.6%
44	589	2.4%
45	572	2.3%
38	547	2.2%
39	538	2.2%
41	535	2.1%
49	521	2.1%
46	515	2.1%
40	513	2.1%
Other values (99)	19281	77.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	751	3.0%
2	268	1.1%
3	173	0.7%
4	102	0.4%
5	79	0.3%
6	68	0.3%
7	80	0.3%
8	90	0.4%
9	251	1.0%
10	219	0.9%

Value	Count	Frequency (%)
113	1	< 0.1%
111	1	< 0.1%
109	1	< 0.1%
108	2	< 0.1%
106	2	< 0.1%
105	2	< 0.1%
103	1	< 0.1%
102	1	< 0.1%
101	5	< 0.1%
100	2	< 0.1%

n_procedures
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.35236

Minimum	0
Maximum	6
Zeros	11409
Zeros (%)	45.6%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.7151793
Coefficient of variation (CV)	1.268286
Kurtosis	0.79556662
Mean	1.35236
Median Absolute Deviation (MAD)	1
Skewness	1.3005718
Sum	33809
Variance	2.9418401
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	11409	45.6%
1	5098	20.4%
2	3064	12.3%
3	2395	9.6%
6	1227	4.9%
4	999	4.0%
5	808	3.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11409	45.6%
1	5098	20.4%
2	3064	12.3%
3	2395	9.6%
4	999	4.0%
5	808	3.2%
6	1227	4.9%

Value	Count	Frequency (%)
6	1227	4.9%
5	808	3.2%
4	999	4.0%
3	2395	9.6%
2	3064	12.3%
1	5098	20.4%
0	11409	45.6%

n_medications
Real number (ℝ)

Distinct	70
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.2524

Minimum	1
Maximum	79
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	11
median	15
Q3	20
95-th percentile	31
Maximum	79
Range	78
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	8.0605318
Coefficient of variation (CV)	0.49595948
Kurtosis	3.4765952
Mean	16.2524
Median Absolute Deviation (MAD)	5
Skewness	1.316139
Sum	406310
Variance	64.972173
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12	1509	6.0%
15	1469	5.9%
13	1459	5.8%
11	1396	5.6%
14	1396	5.6%
16	1379	5.5%
17	1271	5.1%
10	1268	5.1%
9	1157	4.6%
18	1140	4.6%
Other values (60)	11556	46.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	66	0.3%
2	83	0.3%
3	198	0.8%
4	275	1.1%
5	419	1.7%
6	631	2.5%
7	828	3.3%
8	1052	4.2%
9	1157	4.6%
10	1268	5.1%

Value	Count	Frequency (%)
79	1	< 0.1%
75	1	< 0.1%
72	1	< 0.1%
69	2	< 0.1%
68	2	< 0.1%
65	2	< 0.1%
64	1	< 0.1%
63	5	< 0.1%
62	3	< 0.1%
61	4	< 0.1%

n_outpatient
Real number (ℝ)

ZEROS

Distinct	23
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3664

Minimum	0
Maximum	33
Zeros	20859
Zeros (%)	83.4%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	33
Range	33
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.1954782
Coefficient of variation (CV)	3.2627681
Kurtosis	95.925322
Mean	0.3664
Median Absolute Deviation (MAD)	0
Skewness	7.3026053
Sum	9160
Variance	1.4291682
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	20859	83.4%
1	2076	8.3%
2	913	3.7%
3	537	2.1%
4	269	1.1%
5	136	0.5%
6	74	0.3%
7	39	0.2%
8	18	0.1%
11	16	0.1%
Other values (13)	63	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	20859	83.4%
1	2076	8.3%
2	913	3.7%
3	537	2.1%
4	269	1.1%
5	136	0.5%
6	74	0.3%
7	39	0.2%
8	18	0.1%
9	13	0.1%

Value	Count	Frequency (%)
33	1	< 0.1%
27	2	< 0.1%
23	1	< 0.1%
21	3	< 0.1%
20	2	< 0.1%
18	2	< 0.1%
16	2	< 0.1%
15	5	< 0.1%
14	7	< 0.1%
13	7	< 0.1%

n_inpatient
Real number (ℝ)

ZEROS

Distinct	16
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.61596

Minimum	0
Maximum	15
Zeros	16537
Zeros (%)	66.1%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	15
Range	15
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1779511
Coefficient of variation (CV)	1.9123825
Kurtosis	16.454233
Mean	0.61596
Median Absolute Deviation (MAD)	0
Skewness	3.2546341
Sum	15399
Variance	1.3875688
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	16537	66.1%
1	4926	19.7%
2	1909	7.6%
3	833	3.3%
4	358	1.4%
5	211	0.8%
6	104	0.4%
7	47	0.2%
8	26	0.1%
9	20	0.1%
Other values (6)	29	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16537	66.1%
1	4926	19.7%
2	1909	7.6%
3	833	3.3%
4	358	1.4%
5	211	0.8%
6	104	0.4%
7	47	0.2%
8	26	0.1%
9	20	0.1%

Value	Count	Frequency (%)
15	2	< 0.1%
14	2	< 0.1%
13	2	< 0.1%
12	3	< 0.1%
11	8	< 0.1%
10	12	< 0.1%
9	20	0.1%
8	26	0.1%
7	47	0.2%
6	104	0.4%

n_emergency
Real number (ℝ)

SKEWED ZEROS

Distinct	21
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1866

Minimum	0
Maximum	64
Zeros	22272
Zeros (%)	89.1%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	64
Range	64
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.88587348
Coefficient of variation (CV)	4.7474463
Kurtosis	1310.5933
Mean	0.1866
Median Absolute Deviation (MAD)	0
Skewness	24.530152
Sum	4665
Variance	0.78477183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	22272	89.1%
1	1842	7.4%
2	525	2.1%
3	167	0.7%
4	83	0.3%
5	40	0.2%
7	18	0.1%
6	18	0.1%
9	6	< 0.1%
8	6	< 0.1%
Other values (11)	23	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22272	89.1%
1	1842	7.4%
2	525	2.1%
3	167	0.7%
4	83	0.3%
5	40	0.2%
6	18	0.1%
7	18	0.1%
8	6	< 0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
64	1	< 0.1%
37	1	< 0.1%
28	1	< 0.1%
21	1	< 0.1%
19	2	< 0.1%
18	3	< 0.1%
16	2	< 0.1%
13	1	< 0.1%
12	2	< 0.1%
11	3	< 0.1%

medical_specialty
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4588

Minimum	0
Maximum	6
Zeros	1409
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	97.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	4
Q3	4
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.4254486
Coefficient of variation (CV)	0.41212231
Kurtosis	0.3519299
Mean	3.4588
Median Absolute Deviation (MAD)	1
Skewness	-0.84100624
Sum	86470
Variance	2.0319038
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	12382	49.5%
3	3565	14.3%
5	2664	10.7%
1	1885	7.5%
2	1882	7.5%
0	1409	5.6%
6	1213	4.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1409	5.6%
1	1885	7.5%
2	1882	7.5%
3	3565	14.3%
4	12382	49.5%
5	2664	10.7%
6	1213	4.9%

Value	Count	Frequency (%)
6	1213	4.9%
5	2664	10.7%
4	12382	49.5%
3	3565	14.3%
2	1882	7.5%
1	1885	7.5%
0	1409	5.6%

diag_1
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.29708

Minimum	0
Maximum	7
Zeros	7824
Zeros (%)	31.3%
Negative	0
Negative (%)	0.0%
Memory size	97.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	6
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.8277806
Coefficient of variation (CV)	0.85766212
Kurtosis	-1.7306832
Mean	3.29708
Median Absolute Deviation (MAD)	3
Skewness	0.02586226
Sum	82427
Variance	7.9963433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	7824	31.3%
6	6498	26.0%
7	3680	14.7%
2	2329	9.3%
1	1747	7.0%
3	1666	6.7%
5	1252	5.0%
4	4	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7824	31.3%
1	1747	7.0%
2	2329	9.3%
3	1666	6.7%
4	4	< 0.1%
5	1252	5.0%
6	6498	26.0%
7	3680	14.7%

Value	Count	Frequency (%)
7	3680	14.7%
6	6498	26.0%
5	1252	5.0%
4	4	< 0.1%
3	1666	6.7%
2	2329	9.3%
1	1747	7.0%
0	7824	31.3%

diag_2
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.33452

Minimum	0
Maximum	7
Zeros	8134
Zeros (%)	32.5%
Negative	0
Negative (%)	0.0%
Memory size	97.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	6
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.9135264
Coefficient of variation (CV)	0.87374686
Kurtosis	-1.8487802
Mean	3.33452
Median Absolute Deviation (MAD)	3
Skewness	-0.042003843
Sum	83363
Variance	8.4886359
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
6	9056	36.2%
0	8134	32.5%
1	2906	11.6%
7	2872	11.5%
2	973	3.9%
3	591	2.4%
5	426	1.7%
4	42	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8134	32.5%
1	2906	11.6%
2	973	3.9%
3	591	2.4%
4	42	0.2%
5	426	1.7%
6	9056	36.2%
7	2872	11.5%

Value	Count	Frequency (%)
7	2872	11.5%
6	9056	36.2%
5	426	1.7%
4	42	0.2%
3	591	2.4%
2	973	3.9%
1	2906	11.6%
0	8134	32.5%

diag_3
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.14364

Minimum	0
Maximum	7
Zeros	7686
Zeros (%)	30.7%
Negative	0
Negative (%)	0.0%
Memory size	97.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.8372186
Coefficient of variation (CV)	0.90252657
Kurtosis	-1.8411175
Mean	3.14364
Median Absolute Deviation (MAD)	2
Skewness	0.075262148
Sum	78591
Variance	8.0498095
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
6	9107	36.4%
0	7686	30.7%
1	4261	17.0%
7	1915	7.7%
2	916	3.7%
3	464	1.9%
5	455	1.8%
4	196	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7686	30.7%
1	4261	17.0%
2	916	3.7%
3	464	1.9%
4	196	0.8%
5	455	1.8%
6	9107	36.4%
7	1915	7.7%

Value	Count	Frequency (%)
7	1915	7.7%
6	9107	36.4%
5	455	1.8%
4	196	0.8%
3	464	1.9%
2	916	3.7%
1	4261	17.0%
0	7686	30.7%

glucose_test
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

1	23625
2	689
0	686

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	23625	94.5%
2	689	2.8%
0	686	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	23625	94.5%
2	689	2.8%
0	686	2.7%

Most occurring characters

Value	Count	Frequency (%)
1	23625	94.5%
2	689	2.8%
0	686	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	23625	94.5%
2	689	2.8%
0	686	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	23625	94.5%
2	689	2.8%
0	686	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	23625	94.5%
2	689	2.8%
0	686	2.7%

A1Ctest
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

1	20938
0	2827
2	1235

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	20938	83.8%
0	2827	11.3%
2	1235	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	20938	83.8%
0	2827	11.3%
2	1235	4.9%

Most occurring characters

Value	Count	Frequency (%)
1	20938	83.8%
0	2827	11.3%
2	1235	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	20938	83.8%
0	2827	11.3%
2	1235	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	20938	83.8%
0	2827	11.3%
2	1235	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	20938	83.8%
0	2827	11.3%
2	1235	4.9%

change
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	13497
1	11503

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	13497	54.0%
1	11503	46.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	13497	54.0%
1	11503	46.0%

Most occurring characters

Value	Count	Frequency (%)
0	13497	54.0%
1	11503	46.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	13497	54.0%
1	11503	46.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	13497	54.0%
1	11503	46.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	13497	54.0%
1	11503	46.0%

diabetes_med
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

1	19228
0	5772

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	19228	76.9%
0	5772	23.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	19228	76.9%
0	5772	23.1%

Most occurring characters

Value	Count	Frequency (%)
1	19228	76.9%
0	5772	23.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	19228	76.9%
0	5772	23.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	19228	76.9%
0	5772	23.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	19228	76.9%
0	5772	23.1%

readmitted
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	13246
1	11754

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	13246	53.0%
1	11754	47.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	13246	53.0%
1	11754	47.0%

Most occurring characters

Value	Count	Frequency (%)
0	13246	53.0%
1	11754	47.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	13246	53.0%
1	11754	47.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	13246	53.0%
1	11754	47.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	13246	53.0%
1	11754	47.0%

Auto

Heatmap
Table

	A1Ctest	age	change	diabetes_med	diag_1	diag_2	diag_3	glucose_test	medical_specialty	n_emergency	n_inpatient	n_lab_procedures	n_medications	n_outpatient	n_procedures	readmitted	time_in_hospital
A1Ctest	1.000	0.070	0.108	0.081	0.085	0.043	0.015	0.052	0.062	0.000	0.034	0.188	0.024	0.016	0.042	0.023	0.053
age	0.070	1.000	0.055	0.035	-0.024	-0.022	-0.031	0.033	-0.044	-0.038	0.015	0.035	-0.035	0.020	-0.099	0.042	0.101
change	0.108	0.055	1.000	0.506	0.110	0.063	0.035	0.058	0.084	0.000	0.019	0.066	0.242	0.015	0.019	0.043	0.114
diabetes_med	0.081	0.035	0.506	1.000	0.088	0.054	0.031	0.052	0.034	0.013	0.031	0.039	0.207	0.000	0.021	0.062	0.072
diag_1	0.085	-0.024	0.110	0.088	1.000	0.190	0.095	0.040	0.069	0.036	0.023	-0.007	-0.021	0.020	-0.218	0.056	0.026
diag_2	0.043	-0.022	0.063	0.054	0.190	1.000	0.088	0.033	0.044	0.056	0.032	0.057	0.027	0.024	-0.100	0.032	0.091
diag_3	0.015	-0.031	0.035	0.031	0.095	0.088	1.000	0.020	0.022	0.032	0.030	0.067	0.016	0.016	-0.044	0.039	0.077
glucose_test	0.052	0.033	0.058	0.052	0.040	0.033	0.020	1.000	0.082	0.000	0.021	0.272	0.030	0.037	0.054	0.015	0.034
medical_specialty	0.062	-0.044	0.084	0.034	0.069	0.044	0.022	0.082	1.000	-0.028	0.001	-0.113	0.106	0.070	0.075	0.056	0.028
n_emergency	0.000	-0.038	0.000	0.013	0.036	0.056	0.032	0.000	-0.028	1.000	0.220	0.009	0.045	0.176	-0.051	0.037	-0.004
n_inpatient	0.034	0.015	0.019	0.031	0.023	0.032	0.030	0.021	0.001	0.220	1.000	0.044	0.101	0.168	-0.068	0.191	0.094
n_lab_procedures	0.188	0.035	0.066	0.039	-0.007	0.057	0.067	0.272	-0.113	0.009	0.044	1.000	0.259	-0.031	0.015	0.045	0.350
n_medications	0.024	-0.035	0.242	0.207	-0.021	0.027	0.016	0.030	0.106	0.045	0.101	0.259	1.000	0.071	0.337	0.088	0.450
n_outpatient	0.016	0.020	0.015	0.000	0.020	0.024	0.016	0.037	0.070	0.176	0.168	-0.031	0.071	1.000	-0.030	0.059	-0.018
n_procedures	0.042	-0.099	0.019	0.021	-0.218	-0.100	-0.044	0.054	0.075	-0.051	-0.068	0.015	0.337	-0.030	1.000	0.047	0.177
readmitted	0.023	0.042	0.043	0.062	0.056	0.032	0.039	0.015	0.056	0.037	0.191	0.045	0.088	0.059	0.047	1.000	0.053
time_in_hospital	0.053	0.101	0.114	0.072	0.026	0.091	0.077	0.034	0.028	-0.004	0.094	0.350	0.450	-0.018	0.177	0.053	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	age	time_in_hospital	n_lab_procedures	n_procedures	n_medications	n_outpatient	n_emergency	medical_specialty	diag_1	diag_2	diag_3	glucose_test	A1Ctest	change	diabetes_med	readmitted
0	3	8	72	1	18	2	0	4	0	7	6	1	1	0	1	0
1	3	3	34	2	13	0	0	5	6	6	6	1	1	0	1	0
2	1	5	45	0	18	0	0	4	0	0	0	1	1	1	1	1
3	3	2	36	0	12	1	0	4	0	6	1	1	1	1	1	1
4	2	1	42	0	7	0	0	3	6	0	7	1	1	0	1	0
5	0	2	51	0	10	0	0	4	6	6	6	1	1	0	0	1
6	1	4	44	2	21	0	0	4	3	6	6	1	2	1	1	0
7	2	1	19	6	16	0	1	5	0	6	6	1	1	0	1	1
8	4	4	67	3	13	0	0	3	2	6	6	1	1	0	0	1
9	3	8	37	1	18	0	0	2	7	7	6	1	1	1	1	0

	age	time_in_hospital	n_lab_procedures	n_procedures	n_medications	n_inpatient	medical_specialty	diag_1	diag_2	diag_3	glucose_test	A1Ctest	change	diabetes_med	readmitted
24990	1	1	15	1	10	0	6	5	1	0	1	1	0	0	0
24991	2	4	45	4	21	0	4	6	6	3	1	2	1	1	1
24992	1	1	35	5	18	0	0	0	0	1	1	1	0	0	0
24993	2	2	9	1	14	0	4	7	0	0	1	1	0	1	0
24994	2	2	61	4	11	0	4	0	0	0	1	1	1	1	0
24995	4	14	77	1	30	0	4	0	6	0	1	2	0	0	1
24996	4	2	66	0	24	0	4	2	3	6	1	0	1	1	1
24997	3	5	12	0	6	1	4	6	6	6	2	1	0	0	1
24998	3	2	61	3	15	0	2	7	1	6	1	1	1	1	0
24999	1	10	37	1	24	0	4	6	1	0	1	1	0	0	1

	age	time_in_hospital	n_lab_procedures	n_procedures	n_medications	n_outpatient	n_emergency	medical_specialty	diag_1	diag_2	diag_3	glucose_test	A1Ctest	change	diabetes_med	readmitted
0	3	8	72	1	18	2	0	4	0	7	6	1	1	0	1	0
1	3	3	34	2	13	0	0	5	6	6	6	1	1	0	1	0
2	1	5	45	0	18	0	0	4	0	0	0	1	1	1	1	1
3	3	2	36	0	12	1	0	4	0	6	1	1	1	1	1	1
4	2	1	42	0	7	0	0	3	6	0	7	1	1	0	1	0
5	0	2	51	0	10	0	0	4	6	6	6	1	1	0	0	1
6	1	4	44	2	21	0	0	4	3	6	6	1	2	1	1	0
7	2	1	19	6	16	0	1	5	0	6	6	1	1	0	1	1
8	4	4	67	3	13	0	0	3	2	6	6	1	1	0	0	1
9	3	8	37	1	18	0	0	2	7	7	6	1	1	1	1	0

	age	time_in_hospital	n_lab_procedures	n_procedures	n_medications	n_outpatient	n_emergency	medical_specialty	diag_1	diag_2	diag_3	glucose_test	A1Ctest	change	diabetes_med	readmitted
0	3	8	72	1	18	2	0	4	0	7	6	1	1	0	1	0
1	3	3	34	2	13	0	0	5	6	6	6	1	1	0	1	0
2	1	5	45	0	18	0	0	4	0	0	0	1	1	1	1	1
3	3	2	36	0	12	1	0	4	0	6	1	1	1	1	1	1
4	2	1	42	0	7	0	0	3	6	0	7	1	1	0	1	0
5	0	2	51	0	10	0	0	4	6	6	6	1	1	0	0	1
6	1	4	44	2	21	0	0	4	3	6	6	1	2	1	1	0
7	2	1	19	6	16	0	1	5	0	6	6	1	1	0	1	1
8	4	4	67	3	13	0	0	3	2	6	6	1	1	0	0	1
9	3	8	37	1	18	0	0	2	7	7	6	1	1	1	1	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample

	age	time_in_hospital	n_lab_procedures	n_procedures	n_medications	n_outpatient	n_emergency	medical_specialty	diag_1	diag_2	diag_3	glucose_test	A1Ctest	change	diabetes_med	readmitted
0	3	8	72	1	18	2	0	4	0	7	6	1	1	0	1	0
1	3	3	34	2	13	0	0	5	6	6	6	1	1	0	1	0
2	1	5	45	0	18	0	0	4	0	0	0	1	1	1	1	1
3	3	2	36	0	12	1	0	4	0	6	1	1	1	1	1	1
4	2	1	42	0	7	0	0	3	6	0	7	1	1	0	1	0
5	0	2	51	0	10	0	0	4	6	6	6	1	1	0	0	1
6	1	4	44	2	21	0	0	4	3	6	6	1	2	1	1	0
7	2	1	19	6	16	0	1	5	0	6	6	1	1	0	1	1
8	4	4	67	3	13	0	0	3	2	6	6	1	1	0	0	1
9	3	8	37	1	18	0	0	2	7	7	6	1	1	1	1	0